Working Time Analysis

This project analyzes working time data from a CSV file by:

1. Importing the data into a DuckDB database
2. Transforming the data for analysis
3. Generating reports based on the data

Setup

Dependencies

Install the required dependencies:

pip install -r requirements.txt

Usage

1. Import Data

Run the import script to load the CSV data into DuckDB:

python3 import_data.py

This will:

• Create a DuckDB database file working_times.db
• Import the CSV data into a table
• Add an import timestamp to each record

2. Transform Data

Run the transformation script to create analytical views:

python3 transform_data.py

This will:

• Create summary tables with aggregated data
• Convert hours to days (using 8 hours = 1 day conversion)
• Add transformation timestamps

3. Analyze Data

Run the analysis script to generate reports:

python3 analyze_data.py

This will produce:

• Overall time summary
• Top projects by hours
• Busiest days
• Day distribution analysis
• Project-activity combinations

Data Structure

The analysis uses the following tables:

• working_times: Raw imported data
• working_times_summary: Per-day, per-project aggregation
• project_summary: Total time per project
• daily_summary: Total time per day

Each derived table includes timestamps for data lineage tracking.